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Contribution of Micro -and - Macro -Texture to the Skid Resistance of Flexible Pavement
| 题名： | Contribution of Micro -and - Macro -Texture to the Skid Resistance of Flexible Pavement |
| 作者： | Prozzi, J.; Serigos, P. A.; Buddhavarapu, P.; Gorman, G. M.; Hong, F. |
| 关键词： | Texas (state)##Micro-texture##Macro-texture measurements##Skid resistance tests##Laser texture scanner##Methodologies##Transportation planning##Highways projects##Spectral analyses##Pavement surfaces##Texas Deparment of Transportation (TxDOT)## |
| 摘要： | Skid resistance is an important characteristic of the pavement surface to reduce the number of road accidents. The mechanisms involved in the activation of the frictional force required for a safe braking of the vehicle depend on both the macro- and the micro-texture of the pavement surface. The state-of-the-practice methodologies commonly used for measuring pavement texture at highway speeds only account for the macro-texture, which alone might not be sufficient to effectively characterize skid resistance. This study explored different ways to characterize the micro-texture of pavement surfaces with the main objective of quantifying the effect of accounting for both the micro and the macro components of the texture, rather than just the macro-texture, on the prediction of skid resistance. The friction and texture data analyzed in this study were collected from an experiment conducted on in-service flexible pavement surfaces. Surface friction was measured using a British Pendulum Tester whereas texture data was collected using a Circular Track Meter and a Laser Texture Scanner. The surface micro-texture was characterized by different texture parameters calculated in both the spectral and the spatial domain. The impact of incorporating the micro-texture on the prediction of skid resistance was evaluated by analyzing a series of models specified by each of the proposed parameters. The results of the analyses show a significant improvement in predicting the surface friction when accounting for both components of the surface texture, as opposed to only the macro-texture. Furthermore, the parameters calculated on the frequency domain led to a better prediction power. |
| 总页数： | 50 |
| 报告类型： | 科技报告 |
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